{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # 图像显示大小\n",
    "plt.rcParams['image.interpolation'] = 'nearest'   # 最近邻差值: 像素为正方形\n",
    "plt.rcParams['image.cmap'] = 'gray'# 使用灰度输出而不是彩色输出\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clear previously loaded data.\n",
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise 只取出一部分数据\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor \n",
    "\n",
    "# Create a kNN classifier instance. 初始化分类器\n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops. 返回L2距离矩阵\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "no_loop",
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 40.293820 seconds\n",
      "One loop version took 79.830840 seconds\n",
      "No loop version took 0.402924 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.239000\n",
      "k = 3, accuracy = 0.249000\n",
      "k = 3, accuracy = 0.240000\n",
      "k = 3, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.254000\n",
      "k = 5, accuracy = 0.248000\n",
      "k = 5, accuracy = 0.266000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 5, accuracy = 0.292000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 8, accuracy = 0.262000\n",
      "k = 8, accuracy = 0.282000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 10, accuracy = 0.265000\n",
      "k = 10, accuracy = 0.296000\n",
      "k = 10, accuracy = 0.276000\n",
      "k = 10, accuracy = 0.284000\n",
      "k = 10, accuracy = 0.280000\n",
      "k = 12, accuracy = 0.260000\n",
      "k = 12, accuracy = 0.295000\n",
      "k = 12, accuracy = 0.279000\n",
      "k = 12, accuracy = 0.283000\n",
      "k = 12, accuracy = 0.280000\n",
      "k = 15, accuracy = 0.252000\n",
      "k = 15, accuracy = 0.289000\n",
      "k = 15, accuracy = 0.278000\n",
      "k = 15, accuracy = 0.282000\n",
      "k = 15, accuracy = 0.274000\n",
      "k = 20, accuracy = 0.270000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.282000\n",
      "k = 20, accuracy = 0.285000\n",
      "k = 50, accuracy = 0.271000\n",
      "k = 50, accuracy = 0.288000\n",
      "k = 50, accuracy = 0.278000\n",
      "k = 50, accuracy = 0.269000\n",
      "k = 50, accuracy = 0.266000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.270000\n",
      "k = 100, accuracy = 0.263000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.263000\n"
     ]
    }
   ],
   "source": [
    "#我们不确定哪个k值是最佳选择。 因此，我们现在将通过交叉验证确定此超参数的最佳值。\n",
    "num_folds = 5 #训练集分成5份\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100] #k的可能取值\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "X_train_folds = np.split(X_train, num_folds)  #将训练集的图片均分成5个矩阵，默认将axis=0轴均分\n",
    "y_train_folds = np.split(y_train, num_folds)  #将训练集的label均分成5个矩阵，默认将axis=0轴均分\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "for k in k_choices:\n",
    "    accuracies = []\n",
    "    KNN = KNearestNeighbor()\n",
    "    for i in range(num_folds):\n",
    "        Xtr = np.concatenate(X_train_folds[:i] + X_train_folds[i+1:])  #前i个fold和序号为（i+1）及以后的fold拼接，只剩序号为i的没拼接\n",
    "        ytr = np.concatenate(y_train_folds[:i] + y_train_folds[i+1:])\n",
    "        Xcv = X_train_folds[i]                                         #将号为i集作为验证集\n",
    "        ycv = y_train_folds[i]\n",
    "        KNN.train(Xtr, ytr)\n",
    "        ycv_pred = KNN.predict(Xcv, k=k, num_loops=0)                 #得出预测结果的向量\n",
    "        accuracy = np.mean(ycv_pred == ycv)                           #得出准确度\n",
    "        accuracies.append(accuracy)                                    #得到某个k的准确度的列表\n",
    "    k_to_accuracies[k] = accuracies                                         #得到每个k对所有folder的准确度的字典\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "id": "cross_validation"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 1\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n"
   ]
  }
 ],
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